CAAF-ResUNet: Adaptive Attention Fusion with Boundary-Aware Loss for Lung Nodule Segmentation
<i>Background and Objectives</i>: The accurate segmentation of pulmonary nodules in computed tomography (CT) remains a critical yet challenging task due to variations in nodule size, shape, and boundary ambiguity. This study proposes CAAF-ResUNet (Context-Aware Adaptive Attention Fusion...
Saved in:
Main Authors: | Thang Quoc Pham, Thai Hoang Le, Khai Dinh Lai, Dat Quoc Ngo, Tan Van Pham, Quang Hong Hua, Khang Quang Le, Huyen Duy Mai Le, Tuyen Ngoc Lam Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Medicina |
Subjects: | |
Online Access: | https://www.mdpi.com/1648-9144/61/7/1126 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A lip reading method based on adaptive pooling attention Transformer
by: YAO Yun, et al.
Published: (2025-06-01) -
LANet for medical image segmentation
by: Di Zhao, et al.
Published: (2025-04-01) -
MA-DenseUNet: A Skin Lesion Segmentation Method Based on Multi-Scale Attention and Bidirectional LSTM
by: Wenbo Huang, et al.
Published: (2025-06-01) -
T-UNet: triplet UNet for change detection in high-resolution remote sensing images
by: Huan Zhong, et al.
Published: (2025-03-01) -
A multi-scale simplicial transformer with graph attention for facial emotion recognition
by: Samia Nawaz Yousafzai, et al.
Published: (2025-10-01)